41 lines
2.4 KiB
Markdown
41 lines
2.4 KiB
Markdown
## TT KSampler (Advanced) *TT_KSamplerAdvanced*
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*This description was generated with AI assistance. If you spot any errors, please create an issue on GitHub.*
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Advanced sampler with fine-grained control over denoising steps and noise addition.
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### Inputs
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| Parameter | Type | Required | Description |
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|----------------|--------------|----------|-----------------------------------------------------------|
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| `model` | MODEL | Yes | The diffusion model to use for sampling |
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| `positive` | CONDITIONING | Yes | Positive conditioning (what to generate) |
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| `negative` | CONDITIONING | Yes | Negative conditioning (what to avoid) |
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| `latent` | LATENT | Yes | Latent image to denoise |
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| `add_noise` | BOOLEAN | Yes | Add noise before sampling (default: True) |
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| `full_denoise` | BOOLEAN | Yes | Complete full denoising (default: False) |
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| `seed` | INT | Yes | Random seed for reproducibility (0 to 2^64-1, default: 0) |
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| `steps` | INT | Yes | Total number of sampling steps (1-10000, default: 25) |
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| `start_step` | INT | Yes | Step to start sampling from (0-10000, default: 0) |
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| `last_step` | INT | Yes | Step to end sampling at (0-10000, default: 10000) |
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| `cfg` | FLOAT | Yes | Classifier-free guidance scale (0.0-100.0, default: 1.5) |
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| `sampler_name` | COMBO | Yes | Sampler algorithm to use |
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| `scheduler` | COMBO | Yes | Noise schedule to use |
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| `denoise` | FLOAT | Yes | Denoising strength (0.0-1.0, default: 1.0) |
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### Outputs
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| Parameter | Type | Description |
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|-----------|--------|-----------------------|
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| `LATENT` | LATENT | Denoised latent image |
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### Usage
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Advanced sampler for multi-stage workflows and fine control. Use start_step/last_step for partial denoising, add_noise
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to control noise injection, and denoise for strength control. Useful for img2img, refinement passes, and complex
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sampling workflows.
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---
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[View on GitHub](https://github.com/tenser-tensor/ComfyUI-TenserTensor)
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